Cloud Computing for Geospatial Big Data Analytics Intelligent Edge, Fog and Mist Computing /
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , , |
| Zusammenfassung: | XII, 289 p. 93 illus., 73 illus. in color. text |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
| Ausgabe: | 1st ed. 2019. |
| Schriftenreihe: | Studies in Big Data,
49 |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/978-3-030-03359-0 |
| Format: | Elektronisch Buch |
Inhaltsangabe:
- Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects
- Trust Model based Scheduling of Stochastic Workflows in Cloud and Fog Computing
- Trust-Based Access control in Cloud Computing using Machine Learning
- Cloud Security Ontology (CSO)
- Cloud Based Supply Chain Networks – Principles and Practices
- Parallel Computation of a MMDBM algorithm on GPU mining with Big data
- Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities
- A New and Secure Intrusion Detecting system for Detection of Anomalies within the Big Data
- Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential
- Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network
- The Role of Geospatial Technology with IoT for Precision Agriculture.